{"adoption": {"forks": 210, "observed_at": "2026-08-28T04:07:37.217080+00:00", "stars": 2998}, "canonical_url": "https://ross.abutalabs.com/products/differential-dataflow", "card": {"archived": false, "artifact_type": "library", "description": "An implementation of differential dataflow using timely dataflow on Rust.", "domain": ["big-data", "microservices"], "enriched": true, "function": ["streaming", "data-science", "etl"], "health_score": 100, "homepage": null, "language": "Rust", "license": "MIT", "license_family": "permissive", "maturity": "active", "member_repos": ["TimelyDataflow/differential-dataflow"], "name": "TimelyDataflow/differential-dataflow", "platform": ["rust", "cross-platform"], "pushed_at": "2026-08-26T20:53:31+00:00", "repo": "TimelyDataflow/differential-dataflow", "stars": 2998, "tags": ["dataflow", "incremental-computation", "data-parallel", "timely-dataflow", "data-engineering", "algorithms"], "topics": [], "urls": [], "use_cases": ["incrementally update query results as input data changes", "compute graph analytics like reachability on dynamically changing graphs", "process large streaming datasets with low-latency updates", "build data-parallel pipelines with joins and iterative computations", "implement real-time analytics that respond to arbitrary collection changes"], "what_it_is": "A Rust library implementing differential dataflow on top of timely dataflow, enabling data-parallel programs that efficiently process large data collections and rapidly respond to arbitrary input changes. Programs are written as functional transformations (map, filter, join, reduce, iterate) that incrementally update outputs as inputs change.", "when_to_avoid": ["you only need simple batch processing without incremental updates", "you prefer higher-level SQL or streaming engines over low-level dataflow programming", "your team is not comfortable with Rust and functional dataflow semantics"], "when_to_choose": []}, "data_as_of": "2026-08-30T08:39:29.467469+00:00", "members": [{"path": "/products/differential-dataflow", "repo": "TimelyDataflow/differential-dataflow", "role": "main", "score": 93}], "provenance": {"archived": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "artifact_type": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "description": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "domain": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "enriched": {"inputs": [], "kind": "computed", "method": "enrichment_status"}, "function": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "health_score": {"inputs": ["days_since_push", "days_since_release", "archived"], "kind": "computed", "method": "health_v1"}, "homepage": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "language": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "license": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "license_family": {"inputs": ["license"], "kind": "computed", "method": "license_family"}, "maturity": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "member_repos": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "name": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "platform": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "pushed_at": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "repo": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "stars": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "tags": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "topics": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "urls": {"kind": "observed", "observed_at": "2026-08-28T04:07:37.217080+00:00", "source": "github"}, "use_cases": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "what_it_is": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "when_to_avoid": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}, "when_to_choose": {"confidence": null, "enriched_at": "2026-08-30T07:30:36.349949+00:00", "kind": "inferred", "prompt_version": 1, "sources": [{"content_hash": "5c7eeffb62fb89d1cb88b3469bdb4c2a33a750654816dde66563e3ed9101ee4c", "fetched_at": "2026-08-28T04:07:37.217080+00:00", "kind": "readme", "missing": false, "url": "https://github.com/TimelyDataflow/differential-dataflow"}, {"content_hash": "c7c30a158d8f29dfabc0a31a244e81b53088bf82b72ec3db7e8b894676c28cf2", "fetched_at": "2026-08-29T09:45:52.258205+00:00", "kind": "registry_crates", "missing": false, "url": "https://crates.io/api/v1/crates/differential-dataflow"}], "taxonomy_version": 1}}, "score": {"components": {"activity": 99, "longevity": 100, "rhythm": 81}, "computed_at": "2026-09-03T02:39:23.370411+00:00", "flags": [], "formula": "round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)", "inputs": {"age_days": 4138, "days_push": 7, "days_rel": 49, "gap_med": 0, "n_releases_24m": 64}, "score": 93, "version": 2}, "staleness": {"enrichment_outdated": false, "low_confidence": false, "scrape_days": 9, "stale_scrape": false}}